In Parts 1 thru 4 EkaLore looked at an overview of Adobe’s continued overhaul of its products and services by applying Artificial Intelligence (AI) to speed how work gets done. Examples of how these features look at the marketplace in Part 2 were followed by a look at how the marketplace has been changed and will change in Part 3. Part 4 looked at how these new features enable process-level changes at-scale, and for small-medium-enterprises, saving money, speeding up efforts, and setting people up to make decisions. Part 5 looks at a level deeper: what enterprises (small to colossal) will act on to save money, gain process speed, and add functions not previously practical. Parts 6 and 7 are a perspective of what Adobe invading their own market will mean across functions and industries. Parts 8 and 9 pull together the most important points from the series.
Software vendors are embracing AI to put into their product suites and services for marketplace demands. Enterprises desire:
process automation gains reducing communications,
speeding volumes of artifacts thru the production process, and
concepts-to-distribution sped up by generative and advanced functions.
Adobe provides an easy-to-see example supporting the production of artifacts and materials for marketing, sales, and communications. The same demands see software, engineering, manufacturing, and health care services pursuing analogous features and gains.
The key art production and creative talents will see the most productive talents become even more so. The most talented people will see demand, and gains, if the premise of hugely expanded artifact art (or software, engineering, or manufacturing prototypes) production is true.
Advanced software engineering AI’s and design-driven engineering (manufacturing) will see many of the same effects in their processes.
Headcount is reduced due to automation and “de-skilling” of process steps (complex functions at the agent or command instead of hours of clicks and drags; generative art to speed ideation made specific). The work is ‘distilled’ down to a greater intensity by eliminating process delays. For production art this means advancing to layout and animation almost as fast as concepts can be defined. Campaigns (documentation) using automated language translation need highly skilled editors and not so much content writer-creators.
For engineering AI’s this means testing concepts with models and “in the computer” rather than building test-rigs and runs in the test lab. Vehicle manufacturers have cut years from car platform development by crash-testing in-the-computer before building prototypes to crash into walls. Analogous gains are easily seen for engineering CAD, software development, and manufacturing product management.
Moving creation and production steps “in the computer” create the cost and process gains.
Rapid iteration means feedback from outside-the-design-studio can cause reaction and updates in cycle times only hoped-for in the present. Good campaign results can see immediate expansion and feedback. Bad campaign results can see replacement so quickly it seems like the replaced campaign was just a trial. Feedback is rapid with production art, using tools like Adobe, used in “A/B” online response tests and matched with channel results. Manufacturing prototyping couples design-documentation to technologies like additive manufacturing and design-verification-and-validation. A key change leads to speed-limited-by-decisions, and not speed-by-production-delays.
In the last segment of EkaLore’s series we’ll look at what actions enterprises need to take right away.
For more information about Real World Artificial Intelligence and Alien Invaders see http://www.ekalore.com
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